



'''simple docstring'''






import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		):
  a		:   str	  =	10
  a		:   List[Any]	  =	datasets.Features(
      {
          'tokens': datasets.Sequence(datasets.Value('string'							)							),
          'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']							)							),
          'answers': datasets.Sequence(
              {
                  'text': datasets.Value('string'							),
                  'answer_start': datasets.Value('int32'							),
              }							),
          'id': datasets.Value('int64'							),
      }							)
  a		:   Any	  =	datasets.Dataset.from_dict(
      {
          'tokens': [['foo'] * 5] * n,
          'labels': [[1] * 5] * n,
          'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
          'id': list(range(_A							)							),
      }					,     features=_A					,     )
  return dataset
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  a		:   int	  =	str(tmp_path_factory.mktemp('data'							) / 'file.arrow'							)
  dataset.map(cache_file_name=_A							)
  return filename


# FILE_CONTENT + files


lowerCAmelCase:   Optional[int]					=		'\\n    Text data.\n    Second line of data.'
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Optional[Any]	  =	tmp_path_factory.mktemp('data'							) / 'file.txt'
  a		:   Tuple	  =	FILE_CONTENT
  with open(_A					,     'w'							) as f:
    f.write(_A							)
  return filename
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  import bza

  a		:   Optional[Any]	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.bz2'
  a		:   List[Any]	  =	bytes(_A					,     'utf-8'							)
  with bza.open(_A					,     'wb'							) as f:
    f.write(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  import gzip

  a		:   Optional[Any]	  =	str(tmp_path_factory.mktemp('data'							) / 'file.txt.gz'							)
  a		:   List[str]	  =	bytes(_A					,     'utf-8'							)
  with gzip.open(_A					,     'wb'							) as f:
    f.write(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  if datasets.config.LZ4_AVAILABLE:
    import lza.frame

    a		:   Dict	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.lz4'
    a		:   Tuple	  =	bytes(_A					,     'utf-8'							)
    with lza.frame.open(_A					,     'wb'							) as f:
      f.write(_A							)
    return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  if datasets.config.PY7ZR_AVAILABLE:
    import pyazr

    a		:   Optional[Any]	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.7z'
    with pyazr.SevenZipFile(_A					,     'w'							) as archive:
      archive.write(_A					,     arcname=os.path.basename(_A							)							)
    return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  import tarfile

  a		:   Any	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.tar'
  with tarfile.TarFile(_A					,     'w'							) as f:
    f.add(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  import lzma

  a		:   str	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.xz'
  a		:   Tuple	  =	bytes(_A					,     'utf-8'							)
  with lzma.open(_A					,     'wb'							) as f:
    f.write(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  import zipfile

  a		:   List[str]	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  if datasets.config.ZSTANDARD_AVAILABLE:
    import zstandard as zstd

    a		:   Union[str, Any]	  =	tmp_path_factory.mktemp('data'							) / 'file.txt.zst'
    a		:   List[str]	  =	bytes(_A					,     'utf-8'							)
    with zstd.open(_A					,     'wb'							) as f:
      f.write(_A							)
    return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Optional[Any]	  =	tmp_path_factory.mktemp('data'							) / 'file.xml'
  a		:   Any	  =	textwrap.dedent(
      '\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'							)
  with open(_A					,     'w'							) as f:
    f.write(_A							)
  return filename


lowerCAmelCase:   List[str]					=		[
    {'col_1': '0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': '1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': '2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': '3', 'col_2': 3, 'col_3': 3.0},
]
lowerCAmelCase:   List[str]					=		[
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
lowerCAmelCase:   Dict					=		{
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

lowerCAmelCase:   List[Any]					=		[
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

lowerCAmelCase:   int					=		[
    {'col_1': 's0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': 's1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': 's2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': 's3', 'col_2': 3, 'col_3': 3.0},
]
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		):
  return DATA_DICT_OF_LISTS
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Tuple	  =	datasets.Dataset.from_dict(_A							)
  a		:   Tuple	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.arrow'							)
  dataset.map(cache_file_name=_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.sqlite'							)
  with contextlib.closing(sqlitea.connect(_A							)							) as con:
    a		:   Optional[Any]	  =	con.cursor()
    cur.execute('CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'							)
    for item in DATA:
      cur.execute('INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)'					,     tuple(item.values()							)							)
    con.commit()
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   int	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.csv'							)
  with open(_A					,     'w'					,     newline=''							) as f:
    a		:   Optional[Any]	  =	csv.DictWriter(_A					,     fieldnames=['col_1', 'col_2', 'col_3']							)
    writer.writeheader()
    for item in DATA:
      writer.writerow(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Optional[Any]	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset2.csv'							)
  with open(_A					,     'w'					,     newline=''							) as f:
    a		:   int	  =	csv.DictWriter(_A					,     fieldnames=['col_1', 'col_2', 'col_3']							)
    writer.writeheader()
    for item in DATA:
      writer.writerow(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  import bza

  a		:   List[Any]	  =	tmp_path_factory.mktemp('data'							) / 'dataset.csv.bz2'
  with open(_A					,     'rb'							) as f:
    a		:   Dict	  =	f.read()
  # data = bytes(FILE_CONTENT, "utf-8")
  with bza.open(_A					,     'wb'							) as f:
    f.write(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   int	  =	tmp_path_factory.mktemp('data'							) / 'dataset.csv.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(_A							)							)
    f.write(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Optional[int]	  =	tmp_path_factory.mktemp('data'							) / 'dataset.csv.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(csv_path.replace('.csv'					,     '.CSV'							)							)							)
    f.write(_A					,     arcname=os.path.basename(csva_path.replace('.csv'					,     '.CSV'							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Tuple	  =	tmp_path_factory.mktemp('data'							) / 'dataset_with_dir.csv.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.parquet'							)
  a		:   Optional[int]	  =	pa.schema(
      {
          'col_1': pa.string(),
          'col_2': pa.intaa(),
          'col_3': pa.floataa(),
      }							)
  with open(_A					,     'wb'							) as f:
    a		:   Union[str, Any]	  =	pq.ParquetWriter(_A					,     schema=_A							)
    a		:   int	  =	pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_A							)							)] for k in DATA[0]}					,     schema=_A							)
    writer.write_table(_A							)
    writer.close()
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Tuple	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.json'							)
  a		:   List[str]	  =	{'data': DATA}
  with open(_A					,     'w'							) as f:
    json.dump(_A					,     _A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.json'							)
  a		:   Union[str, Any]	  =	{'data': DATA_DICT_OF_LISTS}
  with open(_A					,     'w'							) as f:
    json.dump(_A					,     _A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   str	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.jsonl'							)
  with open(_A					,     'w'							) as f:
    for item in DATA:
      f.write(json.dumps(_A							) + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Optional[int]	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset2.jsonl'							)
  with open(_A					,     'w'							) as f:
    for item in DATA:
      f.write(json.dumps(_A							) + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset_312.jsonl'							)
  with open(_A					,     'w'							) as f:
    for item in DATA_312:
      f.write(json.dumps(_A							) + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   List[Any]	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset-str.jsonl'							)
  with open(_A					,     'w'							) as f:
    for item in DATA_STR:
      f.write(json.dumps(_A							) + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  import gzip

  a		:   int	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.txt.gz'							)
  with open(_A					,     'rb'							) as orig_file:
    with gzip.open(_A					,     'wb'							) as zipped_file:
      zipped_file.writelines(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  import gzip

  a		:   Any	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.jsonl.gz'							)
  with open(_A					,     'rb'							) as orig_file:
    with gzip.open(_A					,     'wb'							) as zipped_file:
      zipped_file.writelines(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Any	  =	tmp_path_factory.mktemp('data'							) / 'dataset.jsonl.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(_A							)							)
    f.write(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A					,     _A							):
  a		:   Dict	  =	tmp_path_factory.mktemp('data'							) / 'dataset_nested.jsonl.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.join('nested'					,     os.path.basename(_A							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Optional[Any]	  =	tmp_path_factory.mktemp('data'							) / 'dataset_with_dir.jsonl.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Tuple	  =	tmp_path_factory.mktemp('data'							) / 'dataset.jsonl.tar'
  with tarfile.TarFile(_A					,     'w'							) as f:
    f.add(_A					,     arcname=os.path.basename(_A							)							)
    f.add(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A					,     _A							):
  a		:   Tuple	  =	tmp_path_factory.mktemp('data'							) / 'dataset_nested.jsonl.tar'
  with tarfile.TarFile(_A					,     'w'							) as f:
    f.add(_A					,     arcname=os.path.join('nested'					,     os.path.basename(_A							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Union[str, Any]	  =	['0', '1', '2', '3']
  a		:   List[str]	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset.txt'							)
  with open(_A					,     'w'							) as f:
    for item in data:
      f.write(item + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   List[Any]	  =	['0', '1', '2', '3']
  a		:   Any	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset2.txt'							)
  with open(_A					,     'w'							) as f:
    for item in data:
      f.write(item + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   List[str]	  =	['0', '1', '2', '3']
  a		:   Any	  =	tmp_path_factory.mktemp('data'							) / 'dataset.abc'
  with open(_A					,     'w'							) as f:
    for item in data:
      f.write(item + '\n'							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   List[Any]	  =	tmp_path_factory.mktemp('data'							) / 'dataset.text.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(_A							)							)
    f.write(_A					,     arcname=os.path.basename(_A							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   Dict	  =	tmp_path_factory.mktemp('data'							) / 'dataset_with_dir.text.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
    f.write(_A					,     arcname=os.path.join('main_dir'					,     os.path.basename(_A							)							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   List[Any]	  =	tmp_path_factory.mktemp('data'							) / 'dataset.ext.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename('unsupported.ext'							)							)
    f.write(_A					,     arcname=os.path.basename('unsupported_2.ext'							)							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']							)
  a		:   Tuple	  =	str(tmp_path_factory.mktemp('data'							) / 'dataset_with_unicode_new_lines.txt'							)
  with open(_A					,     'w'					,     encoding='utf-8'							) as f:
    f.write(_A							)
  return path
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		):
  return os.path.join('tests'					,     'features'					,     'data'					,     'test_image_rgb.jpg'							)
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		):
  return os.path.join('tests'					,     'features'					,     'data'					,     'test_audio_44100.wav'							)
@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A					,     _A							):
  a		:   List[Any]	  =	tmp_path_factory.mktemp('data'							) / 'dataset.img.zip'
  with zipfile.ZipFile(_A					,     'w'							) as f:
    f.write(_A					,     arcname=os.path.basename(_A							)							)
    f.write(_A					,     arcname=os.path.basename(_A							).replace('.jpg'					,     '2.jpg'							)							)
  return path

@pytest.fixture(scope='session'							)
def  lowerCamelCase__			(		_A							):
  a		:   Dict	  =	tmp_path_factory.mktemp('data_dir'							)

  (data_dir / "subdir").mkdir()
  with open(data_dir / 'subdir' / 'train.txt'					,     'w'							) as f:
    f.write('foo\n' * 10							)
  with open(data_dir / 'subdir' / 'test.txt'					,     'w'							) as f:
    f.write('bar\n' * 10							)
  # hidden file
  with open(data_dir / 'subdir' / '.test.txt'					,     'w'							) as f:
    f.write('bar\n' * 10							)

  # hidden directory
  (data_dir / ".subdir").mkdir()
  with open(data_dir / '.subdir' / 'train.txt'					,     'w'							) as f:
    f.write('foo\n' * 10							)
  with open(data_dir / '.subdir' / 'test.txt'					,     'w'							) as f:
    f.write('bar\n' * 10							)

  return data_dir




'''simple docstring'''






from __future__ import annotations
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   List[str]	  =	list(range(len(_A							)							)							)
  a		:   Union[str, Any]	  =	[v / w for v, w in zip(_A					,     _A							)]
  index.sort(key=lambda _A							: ratio[i]					,     reverse=_A							)

  a		:   float	  =	0
  a		:   list[float]	  =	[0] * len(_A							)
  for i in index:
    if weight[i] <= capacity:
      a		:   int	  =	1
      max_value += value[i]
      capacity -= weight[i]
    else:
      a		:   Optional[int]	  =	capacity / weight[i]
      max_value += value[i] * capacity / weight[i]
      break

  return max_value, fractions


if __name__ == "__main__":
     import doctest

     doctest.testmod()